Are you a PhD student interested in machine learning, natural language
processing, computer vision, automated reasoning, or robotics? We are looking
for skilled scientists capable of putting theory into practice through
experimentation and invention, leveraging science techniques and implementing
systems to work on massive datasets in an effort to tackle never-before-solved
problems.
A successful candidate will be a self-starter comfortable with ambiguity, strong
attention to detail, and the ability to work in a fast-paced, ever-changing
environment. As an Applied Science Intern, you will own the design and
development of end-to-end systems. You’ll have the opportunity to create
technical roadmaps, and drive production level projects that will support Amazon
Science. You will work closely with Amazon scientists, and other science interns
to develop solutions and deploy them into production. The ideal scientist must
have the ability to work with diverse groups of people and cross-functional
teams to solve complex business problems.
Must be eligible and available for a full-time (40h / week) 12 week internship
between July 2025 and December 2025
Amazon Science gives insight into the company’s approach to customer-obsessed
scientific innovation. Amazon fundamentally believes that scientific innovation
is essential to being the most customer-centric company in the world. It’s the
company’s ability to have an impact at scale that allows us to attract some of
the brightest minds in artificial intelligence and related fields. Our
scientists use our working backwards method to enrich the way we live and work.
To ensure a great internship experience, please keep these things in mind. This
is a full time internship and requires an individual to work 40 hours a week for
the duration of the internship. Amazon requires an intern to be located where
their assigned team is. Amazon is happy to provide relocation and housing
assistance if you are located 50 miles or further from the office location.
For more information on the Amazon Science community please visit
https://www.amazon.science.
